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  "fetched_at": "2026-10-20T11:37:34Z",
  "source_url": "https://www.kaggle.com/competitions/30daysofml/data",
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      "content": "##Context\nOne waiter recorded information about each tip he received over a period of a few months working in one restaurant. In all he recorded 244 tips.\n\n##Can you predict the tip amount?\n\n##Acknowledgements\nThe data was reported in a collection of case studies for business statistics.\n\nBryant, P. G. and Smith, M (1995) Practical Data Analysis: Case Studies in Business Statistics. Homewood, IL: Richard D. Irwin Publishing\n\nThe dataset is also available through the Python package Seaborn.",
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      "content": "<h1>Day 11 - Day 13: Predicting The Barman’s Tip</h1>\n<p>\nOne waiter in a popular restaurant recorded information about each tip he received from different customers over a period of a few months working in one restaurant. In all he recorded 244 tips.\n</p>\n\n<h2>Data</h2>\n<p>Dataset for the task can be found in data section</p>\n\n<h2>Objectives:</h2>\nUsing Linear Regression or any other machine learning model of your choice, predict the barman’s tip for the given customers. \n\n\n<h3>NOTE</h3>\n<p>\nThis task is a part of the 30 days of code program. To be part of it follow the steps below.\n</p>\n\n<h2>How to Participate</h2>\n<ul>\n<li>Log on to <a href=\"https://30daysofcode.xyz\">30daysofcode.xyz</a> </li>\n<li>Create an account select the Machine Learning track.</li>\n<li><a href=\"https://30daysofcode.xyz\">Login</a> to your account. Your tasks for the competition will be uploaded there </li>\n</ul>\n",
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      "name": "Evaluation",
      "content": "\n<h3>TASK DETAILS</h3>\n<p> \nThis task will run for <strong>three days.</strong> Day 11 inclusive. \n<strong>Submission closes on day 13 by 5am.</strong>\n</p>\n\n<h3>SUBMISSION </h3>\n<p>\nSubmission will be made here on Kaggle and based on the accuracy of your model you will be graded. \n</p>\n<p>You are provided with two datasets</p>\n<p>The one labelled <strong>test_data</strong> is the test set</p>\n<p>The data.csv is your data and you are to use this to train your Machine Learning Model.</p>\n<p>After training your model, make predictions on the test set and input those predictions into a csv file.</p>\n<p>Each line of the csv file that you will submit should contain the user id and the predicted value of the tip (seperated by a comma) as shown below</p>\n<pre>id, tip<br>\n1,5.7<br>\n2,10.6<br>\n</pre>\n<p>The csv file is what you'll be submitting</p>\n<p> The sample_subs.csv file is an example of how your submission should look</p>\n<p>\nNote that you have limited number of submissions per day \n</p>\n<br>\n<p><strong>\nFor your score here to count as anything in the 30 days of code program, ensure your sign up on the <a href=\"https://30daysofcode.xyz\">website</a>\n</strong></p>\n<br><br>\n<p><strong>#Goodluck and may the Pandas lead you to your answer</strong></p>",
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    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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